arxiv
PublishedApril 3, 2026 at 4:00 AM
—neutral
Learning to Play Blackjack: A Curriculum Learning Perspective
Publisher summary· verbatim
arXiv:2604.00076v2 Announce Type: cross Abstract: Reinforcement Learning (RL) agents often struggle with efficiency and performance in complex environments. We propose a novel framework that uses a Large Language Model (LLM) to dynamically generate a curriculum over available actions, enabling the a
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Originally published on arxiv ↗